Intelligent, GitHub-Integrated Professional Portfolio with AI-Powered Content Enhancement
This repository represents a next-generation approach to professional CV management, combining:
- 🤖 AI-Powered Content Enhancement - Claude AI integration for intelligent content optimization
- 📊 GitHub Activity Analytics - Real-time integration of professional development metrics
- 🔄 Automated CI/CD Pipeline - Sophisticated GitHub Actions for continuous CV enhancement
- 📱 Responsive Modern Design - Professional, accessible, and mobile-optimized presentation
- 📈 Dynamic Metrics Tracking - Live professional development insights and analytics
cv/
├── 📄 index.html # Main CV webpage (responsive design)
├── 🎨 assets/
│ ├── styles.css # Modern CSS with dark/light themes
│ ├── script.js # Interactive features and animations
│ └── base-cv.json # Dynamic CV data (AI & activity enhanced)
├── 📊 .github/
│ ├── workflows/
│ │ ├── cv-enhancement.yml # Main CV enrichment workflow
│ │ └── activity-tracker.yml # GitHub activity integration
│ └── scripts/
│ ├── activity-analyzer.js # GitHub metrics processor
│ ├── claude-enhancer.js # AI content enhancement
│ └── cv-generator.js # Dynamic CV compilation
├── 📂 data/
│ ├── base-cv.json # Static CV foundation
│ ├── activity-metrics.json # GitHub activity data
│ └── ai-enhancements.json # Claude-generated improvements
├── 📚 docs/
│ ├── ARCHITECTURE.md # Detailed system architecture
│ ├── CI-WORKFLOWS.md # Workflow documentation
│ └── CUSTOMIZATION.md # Personalization guide
└── 🔧 config/
├── cv-config.yml # CV structure configuration
└── ai-prompts.yml # Claude enhancement prompts
- Intelligent Content Optimization: Claude AI analyzes and enhances CV content for maximum impact
- 💰 Zero-Cost AI Usage: Browser automation provides free Claude AI access (saves $200-400/month)
- Professional Tone Refinement: Automatic improvement of descriptions and summaries
- Skills Gap Analysis: AI-driven recommendations for professional development
- Industry Trend Integration: Dynamic updates based on current tech landscape
- 🔐 Multiple Authentication Methods: Browser automation, OAuth, and API key fallbacks
- Live Commit Analytics: Real-time tracking of coding activity and contributions
- Repository Insights: Automatic analysis of project complexity and impact
- Language Proficiency Tracking: Dynamic skill assessment based on code contributions
- Collaboration Metrics: Team contributions and open-source engagement analysis
The system leverages sophisticated GitHub Actions for continuous integration and delivery of your CV. For detailed information on the workflows, their schedules, and purposes, please refer to the Workflow Documentation.
- Responsive Design: Optimized for desktop, tablet, and mobile viewing
- Interactive Elements: Smooth animations and professional transitions
- Accessibility First: WCAG 2.1 AA compliance with screen reader support
- Print Optimization: Professional PDF generation capabilities
# Create new repository
gh repo create adrianwedd/cv --public --description "AI-Enhanced Dynamic Professional CV"
# Clone and setup
git clone https://github.com/adrianwedd/cv.git
cd cv
# Enable GitHub Pages
gh api repos/adrianwedd/cv -X PATCH -f has_pages=true
gh api repos/adrianwedd/cv/pages -X POST -f source.branch=main -f source.path=/
# Navigate to scripts directory
cd .github/scripts
# Copy environment template
cp .env.example .env
# Extract cookies from claude.ai (see CLAUDE.md for detailed instructions)
# Edit .env with your Claude.ai session cookies
# Test authentication
node claude-browser-client.js test --visible
# Save cookies to GitHub secrets
node setup-claude-cookies.js
# Add required GitHub secrets for API-based usage
gh secret set ANTHROPIC_API_KEY --body "your-claude-api-key"
gh secret set PERSONAL_ACCESS_TOKEN --body "your-github-token-with-repo-access"
# Optional: Configure custom domain
gh secret set CUSTOM_DOMAIN --body "cv.adrianwedd.com"
💡 Cost Comparison: Browser authentication saves $200-400/month compared to API usage!
# Edit base CV data
vim data/base-cv.json
# Configure AI enhancement prompts
vim config/ai-prompts.yml
# Customize CV structure
vim config/cv-config.yml
# Enable GitHub Actions
git add .
git commit -m "🚀 Initialize AI-Enhanced CV System"
git push origin main
# Manual trigger for immediate processing
gh workflow run cv-enhancement.yml
- Design Tokens: Consistent spacing, typography, and color systems
- Component Library: Reusable CV section components
- Responsive Grid: Mobile-first design with progressive enhancement
- Dark/Light Themes: Professional appearance options
- Smooth Animations: Professional transitions and micro-interactions
- Progressive Enhancement: Core functionality without JavaScript
- Print Optimization: Professional PDF-ready styling
- Performance First: Optimized loading and rendering
{
"coding_velocity": {
"commits_per_week": 23,
"languages_active": 8,
"project_complexity_avg": 7.2
},
"collaboration": {
"pull_requests_reviewed": 15,
"issues_resolved": 8,
"community_contributions": 12
},
"growth_indicators": {
"new_technologies": ["Next.js", "Claude AI", "GitHub Actions"],
"skill_progression": "Advanced → Expert (Python, JavaScript)",
"industry_alignment": 94.2
}
}
- Content Optimization Score: Tracking improvement in professional presentation
- Industry Relevance Rating: AI assessment of skills market alignment
- Professional Impact Analysis: Quantified career progression indicators
- Competitive Positioning: Market differentiation analysis
- Minimal Data Collection: Only public GitHub activity processed
- Secure Token Management: GitHub secrets for API access
- Privacy First: No personal data exposure beyond public repositories
- GDPR Compliance: Right to data portability and deletion
- Intelligent Caching: Efficient API usage with sophisticated caching
- Token Conservation: Smart processing to stay within limits
- Graceful Degradation: Functionality maintained during rate limits
- Usage Analytics: Comprehensive token usage tracking
# config/ai-prompts.yml
enhancement_prompts:
professional_summary:
prompt: "Enhance this professional summary for maximum impact in the AI/software engineering field"
max_tokens: 200
temperature: 0.3
skills_optimization:
prompt: "Analyze and improve this skills section based on current industry trends"
max_tokens: 150
temperature: 0.4
# config/cv-config.yml
activity_analysis:
commit_weight: 1.0
pr_review_weight: 1.5
issue_resolution_weight: 1.2
documentation_weight: 0.8
language_proficiency:
calculation_method: "commit_frequency_weighted"
minimum_commits: 10
recency_factor: 0.7
- Asset Optimization: Minified CSS/JS with critical path optimization
- Image Processing: Automatic WebP conversion with fallbacks
- Caching Strategy: Aggressive caching for static assets
- CDN Integration: GitHub Pages optimization
- Lazy Loading: Progressive content loading for faster initial render
- Service Worker: Offline functionality and caching
- Core Web Vitals: Optimized for Google's performance metrics
- Accessibility: Screen reader optimization and keyboard navigation
# Local development
npm install
npm run dev
# Run tests
npm test
# Build for production
npm run build
# Test AI enhancement locally
node .github/scripts/claude-enhancer.js
# Test activity analysis
node .github/scripts/activity-analyzer.js
# Validate CV generation
node .github/scripts/cv-generator.js
MIT License - Feel free to adapt this system for your own professional CV needs.
When using this system, please maintain attribution to:
- Original architecture by Adrian Wedd
- Claude AI integration methodology
- GitHub Actions workflow patterns
For detailed information on the system's architecture, workflows, and underlying research, please refer to our comprehensive documentation:
- Full Documentation Site
- Prompt Engineering Strategy (Practical Guide)
- Advanced Prompt & Pipeline Engineering Framework (Research Paper)